spEDM: Spatial Empirical Dynamic Modeling

Inferring causal associations in cross-sectional earth system data through empirical dynamic modeling (EDM), with extensions to convergent cross mapping from Sugihara et al. (2012) <doi:10.1126/science.1227079>, partial cross mapping as outlined in Leng et al. (2020) <doi:10.1038/s41467-020-16238-0>, and cross mapping cardinality as described in Tao et al. (2023)<doi:10.1016/j.fmre.2023.01.007>.

Version:	1.4
Depends:	R (≥ 4.1.0)
Imports:	dplyr, ggplot2, methods, sdsfun (≥ 0.7.0), sf, terra
LinkingTo:	Rcpp, RcppThread, RcppArmadillo
Suggests:	knitr, Rcpp, RcppThread, RcppArmadillo, rmarkdown, spData
Published:	2025-02-10
DOI:	10.32614/CRAN.package.spEDM
Author:	Wenbo Lv [aut, cre, cph]
Maintainer:	Wenbo Lv <lyu.geosocial at gmail.com>
BugReports:	https://github.com/stscl/spEDM/issues
License:	GPL-3
URL:	https://stscl.github.io/spEDM/, https://github.com/stscl/spEDM
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	spEDM results

Documentation:

Reference manual:	spEDM.pdf
Vignettes:	GCCM (source)

Downloads:

Package source:	spEDM_1.4.tar.gz
Windows binaries:	r-devel: spEDM_1.4.zip, r-release: spEDM_1.4.zip, r-oldrel: spEDM_1.4.zip
macOS binaries:	r-devel (arm64): spEDM_1.4.tgz, r-release (arm64): spEDM_1.4.tgz, r-oldrel (arm64): spEDM_1.4.tgz, r-devel (x86_64): spEDM_1.4.tgz, r-release (x86_64): spEDM_1.4.tgz, r-oldrel (x86_64): spEDM_1.4.tgz
Old sources:	spEDM archive

Linking:

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